package com.yz.gulimall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.yz.common.to.es.SkuEsModel;
import com.yz.common.utils.R;
import com.yz.gulimall.search.config.ElasticSearchConfig;
import com.yz.gulimall.search.constant.EsConstant;
import com.yz.gulimall.search.feign.ProductFeignService;
import com.yz.gulimall.search.service.MallSearchService;
import com.yz.gulimall.search.vo.AttrResponseVo;
import com.yz.gulimall.search.vo.BrandVo;
import com.yz.gulimall.search.vo.SearchParam;
import com.yz.gulimall.search.vo.SearchResult;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

/**
 * @author yz
 * @create 2021-11-10 23:04
 */
@Service
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    private RestHighLevelClient client;

    @Autowired
    private ProductFeignService productFeignService;
    @Override
    public SearchResult search(SearchParam param) {
        SearchResult result = null;
        //准备检索请求
        SearchRequest searchRequest = BuildSearchRequest(param);
        try {
            //执行检索请求
            SearchResponse response = client.search(searchRequest, ElasticSearchConfig.COMMON_OPTIONS);
            //分析响应数据，封装
            result = BuildSearchResult(param, response);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }

    //构建结果数据
    private SearchResult BuildSearchResult(SearchParam param, SearchResponse response) {
        SearchResult result = new SearchResult();
        //返回所有查询到的商品
        SearchHits hits = response.getHits();
        List<SkuEsModel> esModels = new ArrayList<>();
        if(hits.getHits() != null && hits.getHits().length > 0){
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if(!StringUtils.isEmpty(param.getKeyword())){
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(string);
                }
                esModels.add(esModel);
            }
        }
        result.setProducts(esModels);
        //商品涉及的所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");

        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            long attrId = bucket.getKeyAsNumber().longValue();

            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();

            //值可能有多个
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(e -> {
                String keyAsString = e.getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);

            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);

        //品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        //Aggregation
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //得到品牌id
            long brandId = bucket.getKeyAsNumber().longValue();
            //得到品牌名
            String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            //得到名牌图片
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();

            brandVo.setBrandId(brandId);
            brandVo.setBrandName(brandName);
            brandVo.setBrandImg(brandImg);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);
        //分类信息
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            //得到分类id
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));

            //得到分类名
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);
        //页码
        result.setPageNum(param.getPageNum());
        //总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        //总页码
        int totalPages = (int) total % EsConstant.PRODUCT_PAGESIZE == 0 ? (int) total / EsConstant.PRODUCT_PAGESIZE : ((int) total / EsConstant.PRODUCT_PAGESIZE + 1);
        result.setTotalPages(totalPages);

        List<Integer> pageNavs = new ArrayList<>();
        for (int i = 1; i <= totalPages; i++) {
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);

        //面包屑导航功能
        if(param.getAttrs() != null && param.getAttrs().size() > 0){
            List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                //attrs=2_5存：6存
                String[] s = attr.split("_");
                navVo.setNavValue(s[1]);
                R r = productFeignService.getAttrInfo(Long.parseLong(s[0]));
                result.getAttrIds().add(Long.parseLong(s[0]));
                if (r.getCode() == 0) {
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(data.getAttrName());
                } else {
                    navVo.setNavName(s[0]);
                }
                //取消了面包屑以后，我们要跳转到那个地方、将请求地址URL里面的当前制空
                String replace = replaceString(param, attr, "attrs");
                navVo.setLink("http://search.gulimall.com/list.html?" + replace);
                return navVo;
            }).collect(Collectors.toList());
            result.setNavs(collect);

            /**
             * 品牌分类
             * 如果属性预先有它生成的把 对象里面new 的覆盖、如果没有用空的这个list
             */
            if (param.getBrandId() != null && param.getBrandId().size() > 0) {
                List<SearchResult.NavVo> navs = result.getNavs();
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                navVo.setNavName("品牌");
                //TODO 远程查询所有品牌
                R r = productFeignService.brandsInfo(param.getBrandId());
                if (r.getCode() == 0) {
                    List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                    });

                    StringBuffer buffer = new StringBuffer();
                    String replace = "";
                    for (BrandVo brandVo : brand) {
                        buffer.append(brandVo.getBrandName() + ";");
                        replace = replaceString(param, brandVo.getBrandId() + "", "brandId");
                    }
                    navVo.setNavValue(buffer.toString());
                    navVo.setLink("http://search.gulimall.com/list.html?" + replace);
                }
                navs.add(navVo);
            }
        }
        return result;
    }

    private String replaceString(SearchParam param, String value, String key) {
        String encode = null;
        try {
            encode = URLEncoder.encode(value, "UTF-8");
            encode = encode.replace("+", "%20");
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        String replace = param.get_queryString().replace("&"+ key + "=" + encode, "");
        return replace;
    }

    //准备检索请求
    private SearchRequest BuildSearchRequest(SearchParam param) {
            //构建DSL语句
            SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        //模糊匹配、过滤、
        //bool
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //must
        if(!StringUtils.isEmpty(param.getKeyword())){
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
        //filter 三级分类查询
        if(param.getCatalog3Id() != null){
            boolQuery.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }
        //filter 品牌id
        if(param.getBrandId() != null && param.getBrandId().size() > 0){
            boolQuery.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
        }
        //filter 所有指定属性
        if(param.getAttrs() != null && param.getAttrs().size() > 0){

            for (String attrStr : param.getAttrs()) {
                //attrStr =1_5寸：8寸 & attrStr=2_16G：8G
                BoolQueryBuilder nestedBoolQuery = QueryBuilders.boolQuery();
                String[] s = attrStr.split("_");
                String attrId = s[0];    //检索属性id
                String[] attrValues = s[1].split(":"); //检索属性用的值

                nestedBoolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedBoolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                //每一个都生成一个 nested 查询
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedBoolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }
        }
        //filter 库存
       if(param.getHasStock() != null){
           boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock()==1));
       }

        //filter 价格区间
        if(!StringUtils.isEmpty(param.getSkuPrice())){
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            if(s.length == 2){
                //区间
                rangeQuery.gte(s[0]).lte(s[1]);
            }else if (s.length == 1){
                if(param.getSkuPrice().startsWith("_")){
                    rangeQuery.lte(s[0]);
                }
                if(param.getSkuPrice().endsWith("_")){
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }
        // 所有查询条件封装
        searchSourceBuilder.query(boolQuery);
        //排序、
        if(!StringUtils.isEmpty(param.getSort())){
            String sort = param.getSort();
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc")?SortOrder.ASC:SortOrder.DESC;
            searchSourceBuilder.sort(s[0], order);
        }
        //分页、
        searchSourceBuilder.from((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGESIZE);
        searchSourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);
        //高亮
        if(!StringUtils.isEmpty(param.getKeyword())){
            HighlightBuilder highlightBuilder = new HighlightBuilder();
            highlightBuilder.field("skuTitle");
            highlightBuilder.preTags("<b style='color:red'>");
            highlightBuilder.postTags("</b>");
            searchSourceBuilder.highlighter(highlightBuilder);
        }
        //聚合分析
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);
        //品牌聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        // TODO 聚合品牌信息
        searchSourceBuilder.aggregation(brand_agg);

        //分类聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        // TODO 聚合分类信息
        searchSourceBuilder.aggregation(catalog_agg);

        //属性聚合 attr_agg
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //聚合出当前所有的attrId
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        //聚合分析出当前attr_id对应的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));

        //聚合分析出当前attr_id对应的所有可能的属性值attrValue
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        attr_agg.subAggregation(attr_id_agg);
        // TODO attr
        searchSourceBuilder.aggregation(attr_agg);

        String s = searchSourceBuilder.toString();
        System.out.println("构建的DSL语句" + s);
        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, searchSourceBuilder);
        return searchRequest;
    }
}
